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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 32 publication records. Showing 32 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | You Wu, Omid Bazgir, Yongju Lee, Tommaso Biancalani, James Lu, Ehsan Hajiramezanali |
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction.  |
MLCB  |
2023 |
DBLP BibTeX RDF |
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| 1 | Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay |
Towards creating longer genetic sequences with GANs: Generation in principal component space. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Jennifer Yu, Zhenqin Wu, Aaron T. Mayer, Alexandro Trevino, James Zou 0001 |
A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Ethar Alzaid, Muhammad Dawood, Fayyaz Minhas |
A Transductive Approach to Survival Ranking for Cancer Risk Stratification. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Zachary S. Sims, Young Hwan Chang |
A Masked Image Modeling Approach to CyCIF Panel Reduction and Marker Imputation. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Andrea Nathansen, Kevin Klein, Bernhard Y. Renard, Melania Nowicka, Jakub M. Bartoszewicz |
Evaluating Tuning Strategies for Sequence Generation with Protein Language Models. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Juneki Hong, Dezhong Deng, David A. Hendrix |
Improving transformer secondary structure predictions with secondary structure "fixing" task. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Chenwei Zhang, Jordan Lovrod, Boyan Beronov, Khanh Dao Duc, Anne Condon |
ViDa: Visualizing DNA hybridization trajectories with biophysics-informed deep graph embeddings. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | David A. Knowles, Sara Mostafavi (eds.) |
Machine Learning in Computational Biology, November 30 - December 1, 2023, Seattle, WA, USA. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Ayesha Bajwa, Ruchir Rastogi, Pooja Kathail, Richard W. Shuai, Nilah Ioannidis |
Characterizing uncertainty in predictions of genomic sequence-to-activity models. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Eyes S. Robson, Nilah Ioannidis |
GUANinE v1.0: Benchmark Datasets for Genomic AI Sequence-to-Function Models. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Kevin E. Wu, Kathryn Yost, Bence Daniel, Julia A. Belk, Yu Xia, Takeshi Egawa, Ansuman Satpathy, Howard Chang, James Zou 0001 |
TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Kaspar Märtens, Christopher Yau |
Disentangling shared and private latent factors in multimodal Variational Autoencoders. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Xinming Tu, Jan-Christian Hütter, Zitong Jerry Wang, Takamasa Kudo, Aviv Regev, Romain Lopez |
A Supervised Contrastive Framework for Learning Disentangled Representations of Cellular Perturbation Data. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Renming Liu, Arjun Krishnan |
Open Biomedical Network Benchmark: A Python Toolkit for Benchmarking Datasets with Biomedical Networks. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Arushi G. K. Majha, Ian Stott, Andreas Bender 0002 |
On Modelability and Generalizability: Are Machine Learning Models for Drug Synergy Exploiting Artefacts and Biases in Available Data? |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Neda Shokraneh Kenari, Megan Andrews, Max W. Libbrecht |
Model-based imputation enables improved resolution for identifying differential chromatin contacts in single-cell Hi-C data. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Gian Marco Visani, William Galvin, Michael N. Pun, Armita Nourmohammad |
H-Packer: Holographic Rotationally Equivariant Convolutional Neural Network for Protein Side-Chain Packing. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Keren Isaev, David A. Knowles |
Investigating RNA splicing as a source of cellular diversity using a binomial mixture model. |
MLCB |
2023 |
DBLP BibTeX RDF |
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| 1 | Ethan Weinberger, Romain Lopez, Jan-Christian Hütter, Aviv Regev |
Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Alexandra Sneddon, Pablo Acera Mateos, Nikolay Shirokikh, Eduardo Eyras |
Language-Informed Basecalling Architecture for Nanopore Direct RNA Sequencing. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Alexander Lin, Alex Lu |
Incorporating knowledge of plates in batch normalization improves generalization of deep learning for microscopy images. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Tianyi Liu, Philip Fradkin, Lazar Atanackovic, Leo J. Lee |
Energy-based Modelling for Single-cell Data Annotation. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Antonio Majdandzic, Chandana Rajesh, Ziqi Tang, Shushan Toneyan, Ethan L. Labelson, Rohit K. Tripathy 0001, Peter K. Koo |
Selecting deep neural networks that yield consistent attribution-based interpretations for genomics. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Tianyu Liu 0005, Grant Greenberg, Ilan Shomorony |
CVQVAE: A representation learning based method for multi-omics single cell data integration. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek |
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He |
Ensembling improves stability and power of feature selection for deep learning models. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Kyle Swanson, Howard Chang, James Zou 0001 |
Predicting Immune Escape with Pretrained Protein Language Model Embeddings. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | David A. Knowles, Sara Mostafavi, Su-In Lee (eds.) |
Machine Learning in Computational Biology, 21-22 November 2022, Online |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Lauren Berk Wheelock, Stephen Malina, Jeffrey Gerold, Sam Sinai |
Forecasting labels under distribution-shift for machine-guided sequence design. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence |
Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs. |
MLCB |
2022 |
DBLP BibTeX RDF |
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| 1 | David A. Knowles, Sara Mostafavi, Su-In Lee (eds.) |
Machine Learning in Computational Biology Meeting, MLCB 2021, online, November 22-23, 2021. |
MLCB |
2021 |
DBLP BibTeX RDF |
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